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I hear this analogy (selling a dollar for 10ct) but it's unclear to me how we can cleanly map intelligence to cents. If the LLM was GPT-1, most people wouldn't
by vanuatu 5mo ago
I hear this analogy (selling a dollar for 10ct) but it's unclear to me how we can cleanly map intelligence to cents.
If the LLM was GPT-1, most people wouldn't even use it for free. So clearly there's another axis here?
- Micrococonut 5mo agoThe analogy is implying that the revenue generated by providers is dwarfed by the total expenditure on inference & continuously training the next best model. These providers have large operational costs and the presumption is that they are providing a dollar ~worth~ of product for 10 cents. Worth being calculable based on the actual capital & operational costs of providing the service.
- vanuatu 5mo agoanthropic models are profitable fully loaded (rev - inference cost - training cost)
- Micrococonut 5mo agoYea I don't know if that's true or not. I'm just saying that is what they are getting at.
- toasty228 5mo agoAccording to who? Remember that they told us gpt 3 was "too dangerous to release" Until their finances are open you can't trust anything they say